aceThe Role of Interpreters in Supporting Resilience and Implications for Artificial Intelligence
Background Interpreters help millions of patients with a non-English language preference (NELP) navigate the healthcare system. Artificial intelligence (AI) tools are rapidly improving and undergoing testing and implementation for interpretation purposes. However, little is understood about interpreters' roles beyond direct interpretation, such as how they may promote resilience, which supports patient safety. Understanding these additional roles is critical as AI tools expand in interpretation. Objective To und…
AI interpretation tools do not yet support the resilience-enhancing behaviors interpreters perform, so adopting them without care could open patient safety gaps for patients with a non-English language preference.
The evidence comes from a small sample of 17 interpreters in focus groups examining their experiences, not from direct evaluation of AI interpretation tools, so safety gaps are inferred rather than measured.
Evidence
- Peer-reviewedJournal of General Internal Medicine2026-10-05
How should this claim be treated?
Truvace Impact Record TRV-2026-1845, v1: “The Role of Interpreters in Supporting Resilience and Implications for Artificial Intelligence.” Truvace, 2026-10-18. /record/TRV-2026-1845 (accessed at citation time). sha256 c0bda12f439912d3…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-1845 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.